Spleen proteomics data from high fat diet fed mice
Artikel i vetenskaplig tidskrift, 2020

The composition of the diet affects many processes in the body, including body weight and endocrine system. We have previously shown that dietary fat also affects the immune system. Mice fed high fat diet rich in polyunsaturated fatty acids survive S. aureus infection to a much greater extent than mice fed high fat diet rich in saturated fatty acids. Here we present data regarding the dietary effects on protein expression in spleen from mice fed three different diets, I) low fat/chow diet (LFD, n = 4), II) high fat diet rich in saturated fatty acids (HFD-S, n = 4) and III) high fat diet rich in polyunsaturated fatty acids (HFD-P, n = 4). We performed mass spectrophotometry based quantitative proteomics analysis of isolated spleen by implementing the isobaric tags for relative and absolute quantification (iTRAQ) approach. Mass spectrometry data were analyzed using Proteome Discoverer 2.4 software using the search engine mascot against Mus musculus in SwissProt. 924 proteins are identified in all sets (n = 4) for different dietary effects taken for statistical analysis using Qlucore Omics Explorer software. Only 20 proteins were found to be differentially expressed with a cut-off value of false discovery rate < 0.1 (q-value) when comparing HFD-S and HFD-P but no differentially expressed proteins were found when LFD was compared with HFD-P or HFD-S. The identified proteins and statistical analysis comparing HFD-S and HFD-P diets are available as a supplementary file S1. We identified a subset of proteins that showed an inverse expression pattern between two high fat diets. These differentially expressed proteins were further classified by gene ontology for their role in biological processes and molecular functions. Mass spectrometry raw data are also available via ProteomeXchange with identifier PXD020365.

Polyunsaturated fatty acids

Proteomics

Low fat diet

iTRAQ

Saturated fatty acids

High fat diet

Diet

Författare

Sara L Svahn

Göteborgs universitet

Bagmi Pattanaik

Göteborgs universitet

Louise Grahnemo

Göteborgs universitet

Saray Gutierrez

Göteborgs universitet

Intawat Nookaew

Chalmers, Biologi och bioteknik, Systembiologi

University of Arkansas for Medical Sciences

John-Olov Jansson

Göteborgs universitet

Maria E. Johansson

Göteborgs universitet

Data in Brief

2352-3409 (ISSN)

Vol. 32 106110

Ämneskategorier

Medicinsk bioteknologi (med inriktning mot cellbiologi (inklusive stamcellsbiologi), molekylärbiologi, mikrobiologi, biokemi eller biofarmaci)

Bioinformatik och systembiologi

Näringslära

DOI

10.1016/j.dib.2020.106110

Mer information

Senast uppdaterat

2020-09-01